Role Summary
We are seeking a Data Engineer / Data Migration / Integration Engineer to build, develop, and support scalable data platforms, migration solutions, and integration frameworks. These systems enable business-critical analytics, operational processes, and capabilities powered by artificial intelligence. This role combines data engineering, integration engineering, cloud technologies, and data architecture prepared for AI.

Key Responsibilities
Build, develop, test, and deploy scalable data pipelines using contemporary cloud technologies.
Build batch, micro-batch, and real-time data processing solutions.
Develop ETL/ELT frameworks and reusable integration components.
Complete data migration and modernization initiatives across cloud and hybrid environments.
Build and maintain REST API, event-driven, and Kafka-based integrations.
Build cloud-native data solutions using AWS and Azure services.
Implement data quality, observability, monitoring, and governance practices.
Help shape the future of AI-enabled products by creating secure, reliable,



and scalable data foundations that power Generative AI and intelligent experiences.

Technical Skills & Qualifications
Required Qualifications
Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
6–12 years of experience in Data Engineering, Data Migration, Integration Engineering, or related roles.
Solid programming skills in Python and SQL with working knowledge of Java or Scala.
Experience with Spark, PySpark, Databricks, and distributed data processing frameworks.
Hands-on experience with AWS and/or Azure data platforms.
Experience building ETL/ELT pipelines, integrations, and migration solutions.
Familiarity with REST APIs, event-driven architectures, streaming technologies, CI/CD, and automation.

Preferred Qualifications
Experience with Snowflake, Delta Lake, Airflow, Kafka, SnapLogic, ADLS, and SQL Server.
Exposure to Salesforce (SFDC) or Microsof

📌 Information Systems Engineer 4 Bengaluru (India)
🏢 Adobe
📍 India